Triple

T17177623
Position Surface form Disambiguated ID Type / Status
Subject Two Women E416901 entity
Predicate editedBy P1954 FINISHED
Object Adriana Novelli
Adriana Novelli is an editor known for her work on the film "Two Women."
E1272300 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Adriana Novelli | Statement: [Two Women, editedBy, Adriana Novelli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Adriana Novelli
Context triple: [Two Women, editedBy, Adriana Novelli]
  • A. Claudia Villafañe
    Claudia Villafañe is an Argentine businesswoman and television personality best known for her long-term marriage to football legend Diego Maradona and her role in managing aspects of his career and estate.
  • B. Adriana Asti
    Adriana Asti is an Italian actress known for her work in European art-house cinema and collaborations with prominent directors such as Luchino Visconti and Bernardo Bertolucci.
  • C. Adriana Molinari
    Adriana Molinari is a notable individual who bears the Italian surname Molinari, recognized among people associated with this family name.
  • D. Luciana Rivera
    Luciana Rivera is the daughter of reggaeton singer and songwriter Nicky Jam.
  • E. Isabel Sarli
    Isabel Sarli was an iconic Argentine actress and sex symbol best known for her starring roles in erotic films of the 1950s–1970s directed by Armando Bó.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Adriana Novelli
Triple: [Two Women, editedBy, Adriana Novelli]
Generated description
Adriana Novelli is an editor known for her work on the film "Two Women."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Adriana Novelli
Target entity description: Adriana Novelli is an editor known for her work on the film "Two Women."
  • A. Claudia Villafañe
    Claudia Villafañe is an Argentine businesswoman and television personality best known for her long-term marriage to football legend Diego Maradona and her role in managing aspects of his career and estate.
  • B. Adriana Asti
    Adriana Asti is an Italian actress known for her work in European art-house cinema and collaborations with prominent directors such as Luchino Visconti and Bernardo Bertolucci.
  • C. Adriana Molinari
    Adriana Molinari is a notable individual who bears the Italian surname Molinari, recognized among people associated with this family name.
  • D. Luciana Rivera
    Luciana Rivera is the daughter of reggaeton singer and songwriter Nicky Jam.
  • E. Isabel Sarli
    Isabel Sarli was an iconic Argentine actress and sex symbol best known for her starring roles in erotic films of the 1950s–1970s directed by Armando Bó.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d886d5f34c8190b24564dfaa63f3fb completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3fc0ee5008190a73875b39841fd9f completed April 18, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01c1e78d788190adb16779da468a3d completed May 11, 2026, 11:47 a.m.
NEDg Description generation batch_6a01c3881f6081908f13c4033933b252 completed May 11, 2026, 11:54 a.m.
NED2 Entity disambiguation (via description) batch_6a01c41859008190b786bdc2c09f24d1 completed May 11, 2026, 11:57 a.m.
Created at: April 10, 2026, 5:37 a.m.